Salary for Mid-level / Intermediate Data Operations Specialist in United States during 2024

Salary details

The average mid-level / intermediate Data Operations Specialist salary lies between USD 70,000 and USD 114,000 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Operations Specialist roles

The three most common job tag items assiciated with mid-level / intermediate Data Operations Specialist job listings are DataOps, Data quality and SQL. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

DataOps | 34 jobs Data quality | 18 jobs SQL | 17 jobs Python | 15 jobs Data management | 15 jobs Security | 13 jobs Computer Science | 12 jobs Pipelines | 10 jobs Research | 9 jobs Linux | 8 jobs Privacy | 8 jobs Machine Learning | 7 jobs Open Source | 7 jobs Data pipelines | 7 jobs Excel | 7 jobs Engineering | 6 jobs Data governance | 6 jobs Data Analytics | 5 jobs Azure | 5 jobs FinTech | 5 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Operations Specialist roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Operations Specialist job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 13 jobs Health care | 11 jobs Flex hours | 6 jobs Team events | 6 jobs Insurance | 6 jobs 401(k) matching | 5 jobs Flex vacation | 5 jobs Startup environment | 5 jobs Competitive pay | 5 jobs Parental leave | 4 jobs Medical leave | 4 jobs Wellness | 2 jobs Flexible spending account | 2 jobs Equity / stock options | 1 jobs Fitness / gym | 1 jobs Conferences | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Mid-level Data Operations Specialist in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and comprehensive benefits packages that cover health insurance, retirement plans, and other perks.

Regional differences can also impact salary composition. For instance, positions in tech hubs like San Francisco or New York may offer higher base salaries and more substantial stock options to offset the higher cost of living. Industry and company size also play a role; larger companies or those in high-demand sectors like finance or technology might offer more competitive compensation packages compared to smaller firms or those in less lucrative industries.

Steps to Increase Salary

To increase your salary from a Mid-level Data Operations Specialist position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging technologies and tools relevant to data operations, such as cloud computing, machine learning frameworks, and data visualization tools.
• Advanced Education: Pursuing further education, such as a master's degree in data science, computer science, or a related field, can make you more competitive for higher-paying roles.
• Networking: Build a strong professional network within the industry. Attend conferences, join professional organizations, and participate in online forums to connect with peers and industry leaders.
• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field, which can make you more attractive to employers.
• Leadership Roles: Seek opportunities to take on leadership roles or manage projects, as these experiences can position you for promotions and salary increases.

Educational Requirements

Most Mid-level Data Operations Specialist positions require at least a bachelor's degree in a relevant field such as data science, computer science, statistics, or information technology. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or management responsibilities. A strong foundation in mathematics and statistics is often essential, along with coursework in programming and data management.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some common and beneficial certifications for this role include:

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills in data management, cloud platforms, and data analytics, making you a more competitive candidate.

Required Experience

Typically, a Mid-level Data Operations Specialist is expected to have 3 to 5 years of experience in data-related roles. This experience should include hands-on work with data analysis, data management, and familiarity with data processing tools and technologies. Experience in specific industries or with particular data systems can also be advantageous, depending on the employer's needs.

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